AIMC Topic: Milk

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Toward in-process technology-aided automation for enhanced microbial food safety and quality assurance in milk and beverages processing.

Critical reviews in food science and nutrition Sep 6, 2022
Ensuring the safety of food products is critical to food production and processing. In food processing and production, several standard guidelines are implemented to achieve acceptable food quality and safety. This notwithstanding, due to human limit...
Humans Artificial Intelligence Technology Milk Automation Food Handling Food Safety Animals Food Microbiology Beverages
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In-line near-infrared analysis of milk coupled with machine learning methods for the daily prediction of blood metabolic profile in dairy cattle.

Scientific reports May 16, 2022
Precision livestock farming technologies are used to monitor animal health and welfare parameters continuously and in real time in order to optimize nutrition and productivity and to detect health issues at an early stage. The possibility of predicti...
Animal Welfare Metabolome Lactation Milk Neural Networks, Computer Machine Learning Spectroscopy, Near-Infrared Cattle Female Animals
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Over 20 Years of Machine Learning Applications on Dairy Farms: A Comprehensive Mapping Study.

Sensors (Basel, Switzerland) Dec 22, 2021
Machine learning applications are becoming more ubiquitous in dairy farming decision support applications in areas such as feeding, animal husbandry, healthcare, animal behavior, milking and resource management. Thus, the objective of this mapping st...
Machine Learning Algorithms Female Cattle Milk Animals Animal Husbandry Farms
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Livestock Informatics Toolkit: A Case Study in Visually Characterizing Complex Behavioral Patterns across Multiple Sensor Platforms, Using Novel Unsupervised Machine Learning and Information Theoretic Approaches.

Sensors (Basel, Switzerland) Dec 21, 2021
Large and densely sampled sensor datasets can contain a range of complex stochastic structures that are difficult to accommodate in conventional linear models. This can confound attempts to build a more complete picture of an animal's behavior by agg...
Pregnancy Female Informatics Cattle Animals Unsupervised Machine Learning Livestock Milk Farms
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Evaluating the performance of machine learning methods and variable selection methods for predicting difficult-to-measure traits in Holstein dairy cattle using milk infrared spectral data.

Journal of dairy science Apr 15, 2021
Fourier-transform infrared (FTIR) spectroscopy is a powerful high-throughput phenotyping tool for predicting traits that are expensive and difficult to measure in dairy cattle. Calibration equations are often developed using standard methods, such as...
Spectroscopy, Fourier Transform Infrared Milk 3-Hydroxybutyric Acid Machine Learning Animals Phenotype Cattle Female
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Association Between Coffee Intake and Incident Heart Failure Risk: A Machine Learning Analysis of the FHS, the ARIC Study, and the CHS.

Circulation. Heart failure Feb 9, 2021
BACKGROUND: Coronary heart disease, heart failure (HF), and stroke are complex diseases with multiple phenotypes. While many risk factors for these diseases are well known, investigation of as-yet unidentified risk factors may improve risk assessment...
Red Meat Protective Factors Animals Coffee Male Heart Failure Proportional Hazards Models Cardiovascular Diseases Coronary Disease Humans Heart Disease Risk Factors Incidence Machine Learning Milk Stroke Middle Aged Female Diet Aged
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Predicting pregnancy status from mid-infrared spectroscopy in dairy cow milk using deep learning.

Journal of dairy science Jan 21, 2021
Accurately identifying pregnancy status is imperative for a profitable dairy enterprise. Mid-infrared (MIR) spectroscopy is routinely used to determine fat and protein concentrations in milk samples. Mid-infrared spectra have successfully been used t...
Pregnancy Female Cattle Lactation Animals Deep Learning Fatty Acids Milk Spectrophotometry, Infrared
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Predicting dairy cattle heat stress using machine learning techniques.

Journal of dairy science Oct 31, 2020
The objectives of the study were to use a heat stress scoring system to evaluate the severity of heat stress on dairy cows using different heat abatement techniques. The scoring system ranged from 1 to 4, where 1 = no heat stress; 2 = mild heat stres...
Respiratory Rate Body Temperature Animals Hot Temperature Cattle Machine Learning Dairying Female Lactation Cattle Diseases Temperature Milk Bayes Theorem Heat Stress Disorders
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A comparison of 4 different machine learning algorithms to predict lactoferrin content in bovine milk from mid-infrared spectra.

Journal of dairy science Oct 23, 2020
Lactoferrin (LF) is a glycoprotein naturally present in milk. Its content varies throughout lactation, but also with mastitis; therefore it is a potential additional indicator of udder health beyond somatic cell count. Condequently, there is an inter...
Milk Calibration Spectrophotometry, Infrared Animals Least-Squares Analysis Machine Learning Algorithms Cattle Female Lactoferrin Lactation
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SERS-based lateral flow assay combined with machine learning for highly sensitive quantitative analysis of Escherichia coli O157:H7.

Analytical and bioanalytical chemistry Sep 12, 2020
In the present study, surface-enhanced Raman scattering-based lateral flow assay (SERS-LFA) strips were applied to promptly and sensitively detect Escherichia coli O157:H7 (E. coli O157:H7) to ensure food safety. The SERS nanotags were prepared by co...
Milk Red Meat Machine Learning Spectrum Analysis, Raman Animals Escherichia coli O157 Biosensing Techniques Limit of Detection
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